resolution op• Data kinds: points × points → table
• Call: import fullseye as fs; fs.ledger.pc_thinning_report(points, thinned, k=8, radius=None) (to call the implementation directly, import meshres; meshres.pc_thinning_report(points, thinned, k=8, radius=None); from the registry, ops3d.get("pc_thinning_report"))
What a point-cloud thinning removed, and whether it touched the rare points (table).
removed count and fraction; removed_spacing percentiles of the local spacing (pc_density) of the removed points versus kept_spacing; isolated_removed counts removed points whose nearest-neighbour distance exceeded *radius* (default: the 95th percentile of nearest-neighbour distances) — a thinning that removed such points has discarded exactly the rare, isolated observations a survey exists to find (pc_poisson_disk with the same radius removes none of them, by construction); max_gap is the largest distance from any removed point to the kept cloud (the biggest hole the thinning made).
• depth_sensors — Depth sensors — ranging principles, real-device figures, how dropouts appear
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• mesh_resolution_demo — py -3.11 examples_3d/mesh_resolution_demo.py
table as input)fuse_to_voxel · mesh_select_lod
resolution)mesh_edge_stats · mesh_detail_map · mesh_split_long_edges · mesh_isotropic_remesh · mesh_sample_points · mesh_lod_chain · mesh_select_lod · mesh_reduction_report
*Provenance: meshres.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.